Current research on the influence of establishing operations on behavior in applied settings.

Nasr et al. (2000) wrote a narrative review. They looked at how researchers study establishing operations in real-world settings.

The paper lists holes in EO methods. It asks for cleaner tests of deprivation, satiation, and other value-changing conditions.

The review found that EO work is scarce outside the lab. When it is done, the measures are loose and the designs are weak.

Authors say we need standard ways to check EO strength. Without them, treatments may miss why problem behavior surges or why reinforcers stop working.

Winett et al. (1991) and Wolchik et al. (1982) made the same plea earlier. They said human operant lab work must stay alive. The 2000 paper keeps that line alive but shifts the spotlight to EOs.

Mace (1994) offers a three-step bridge: animal model, human lab test, then real-world trial. Nasr et al. (2000) echo that chain when they call for tighter EO lab-to-field moves.

Catania et al. (2019) simplify MO talk years later. Their push for clear terms supports the 2000 wish for standard EO measures.

You can start treating EOs like any other variable you measure. Before session, note if the client missed breakfast or just drank a big soda. Then watch how hard they work for food reinforcers. Track it data-sheet style. Over days you will see the EO curve, and you can time teaching trials when motivation peaks.